Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities by Yuan Jiang, Qin Xu, Pengfei Zhang, Kang Nai, Liping Liu

“…As an important part of Doppler velocity data quality control for radar data assimilation and other quantitative applications, an automated technique is developed to identify and remove contaminated velocities by birds, especially migrating birds. …”
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Enhanced classification of medicinal plants using deep learning and optimized CNN architectures by Hicham Bouakkaz, Mustapha Bouakkaz, Chaker Abdelaziz Kerrache, Sahraoui Dhelim

“…This study provides evidence of the potential that deep learning models have in improving and automating identification and classification procedures for medicinal plants when integrated with botanical studies.…”
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From Queries to Courses: SKYRAG’s Revolution in Learning Path Generation via Keyword-Based Document Retrieval by Yosua Setyawan Soekamto, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Dae-Ki Kang

“…Large Language Models (LLMs) hold immense potential for transforming education by automating the generation of personalized learning paths. …”
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A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms by Jingfeng Shan, Lapo Miccinesi, Alessandra Beni, Lorenzo Pagnini, Andrea Cioncolini, Massimiliano Pieraccini

“…AI approaches, employing supervised and unsupervised learning, demonstrate potential for automating detection and improving precision, although challenges such as limited datasets and high computational demands persist. …”
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Hydrolysis Profiles of Formalin Fixed Paraffin-Embedded Tumors Based on IOD (Integrated Optical Density) and Nuclear Texture Feature Measurements by Margareta Fležar, Marija Us‐Krašovec, Mario žganec, Jaka Lavrenčak, Rastko Golouh

“…The nuclear texture features along with the IOD (integrated optical density) of the tumor nuclei were analysed by an automated high resolution image cytometer as a function of duration of hydrolysis treatment (in 5 N HCl at room temperature). …”
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Z Specification of Gate and Apron Control Management at Airport by Nazir Ahmad Zafar, Fahad Alhumaidan, Sher Afzal Khan

“…Modelling of an air traffic control (ATC) system is an open issue and has become a challenging problem due to its complexity and increase of traffic at airports and in airspace. Consequently, automated ATC systems are suggested to improve efficiency ensuring the safety standards. …”
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Bearing Fault Diagnosis Using a Novel Classifier Ensemble Based on Lifting Wavelet Packet Transforms and Sample Entropy by Lei Zhang, Long Zhang, Junfeng Hu, Guoliang Xiong

“…In order to improve the fault detection accuracy for rolling bearings, an automated fault diagnosis system is presented based on lifting wavelet packet transform (LWPT), sample entropy (SampEn), and classifier ensemble. …”
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Prediction of Crack for Drilling Process on Alumina Using Neural Network and Taguchi Method by Kingsun Lee

“…The neural network can predict individual crack in terms of input parameters, which provides faster and more automated model synthesis. Accurate prediction of crack ensures that poor drilling parameters are not suitable for machining products, avoiding the fabrication of poor-quality products. …”
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A Proposal for a Zero-Trust-Based Multi-Level Security Model and Its Security Controls by Jun-Hyung Park, Sung-Chae Park, Heung-Youl Youm

“…Furthermore, the model overcomes the static access control limitations of MLS by incorporating ZT’s automated dynamic access capabilities, significantly improving responsiveness to anomalous behaviours. …”
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Technological a priori and Communicative Action in Kurt Vonnegut’s Player Piano by Mete Han Arıtürk, Mehmet Büyüktuncay

“…In Player Piano, Kurt Vonnegut’s critical depiction of the extremely technologized and automated social world in a near future America slightly predates and even heralds the above-mentioned critical theorists’ analyses of the ideological nature of technology under corporate capitalism. …”
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Enhancing operational efficiency: implementing business process improvement by integrating the command center in the Indonesian toll road operator company by Lea Pungky Rahayu, Ratih Dyah Kusumastuti

“…The as-is and to-be processes are measured using a technique of improvement design called the ESIA approach, consisting of four steps: eliminate, simplify, integrate, and automate. The result of the integration of Command Center services can decrease the response time for assisting requests from toll road users and enhance cost-effectiveness, improving customer satisfaction and the overall quality of toll road service.…”
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Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT by Wenhan Fan, Jianliang Zhou, Jianming Zhou, Dandan Liu, Wenjing Shen, Jiarui Gao

“…This research develops a conceptual framework adopting BIM and IoT to aid the identification and evaluation of hazards in deep foundation pit construction sites using an automated early warning system. Based on the accident analysis, the system framework of Safety Management System of Deep Foundation Pits (SMSoDFP) is proposed; it includes a function requirement, system modules, and information needs. …”
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Automatic Pipelining and Vectorization of Scientific Code for FPGAs by Syed Waqar Nabi, Wim Vanderbauwhede

“…We are developing an automated optimizing compiler TyTra to overcome this obstacle. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…The proposed method automates the detection of misaligned or incorrectly fitting gaskets, ensuring timely repair action. …”
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A Framework of Selecting Building Flooring Finishing Materials by Using Building Information Modeling (BIM) by Mohamed A. Al Rahhal Al Orabi, Khalid S. Al-Gahtani

“…Thus, this study proposes a framework to automate the VE process of selecting building flooring material. …”
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The culture of ecological centers as a significant element of urban life in eco-cities by Alina Shaikhieva, Anastasya Korovina, Sergey Tkach, Maya Rusakova

“…The space itself benefits greatly from visitor behaviours; for example, a normal visitor's path is automated and predictable. Most users regularly come to the center, visit other eco-friendly spaces, and follow this topic on social networks. …”
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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

“…With the rise of Internet of Things (IoT) in healthcare, automated medical image analysis has become essential for real-time disease detection. …”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…A procedure for generating a synthetic dataset for training and a module for automated labeling of real data is developed. A recurrent neural network model for detecting step anomalies is proposed. …”
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Exploring entry-exit correlation coefficient (EEC) as new quantitative social activities performance measurement of public space: The case of Dilworth Park, Philadelphia by Jae Min Lee

“…While the study focused on a single case study, its results lay the groundwork for future research to apply automated pedestrian counting and EEC as performance measurements for public spaces.…”
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Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…This study proposes an alternative for automating the periodic surveys of pavement condition by means of image processing and machine learning. …”
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